diff --git a/horde_worker_regen/process_management/process_manager.py b/horde_worker_regen/process_management/process_manager.py
index cb279de1..2ba6ce84 100644
--- a/horde_worker_regen/process_management/process_manager.py
+++ b/horde_worker_regen/process_management/process_manager.py
@@ -7,7 +7,6 @@
 from collections import deque
 from collections.abc import Mapping
 from io import BytesIO
-from multiprocessing.connection import PipeConnection
 from multiprocessing.context import BaseContext
 from multiprocessing.synchronize import Lock as Lock_MultiProcessing
 from multiprocessing.synchronize import Semaphore
@@ -58,10 +57,15 @@
 )
 from horde_worker_regen.process_management.worker_entry_points import start_inference_process, start_safety_process
 
+try:
+    from multiprocessing.connection import PipeConnection as Connection
+except ImportError:
+    from multiprocessing.connection import Connection  # type: ignore
+
 
 class HordeProcessInfo:
     mp_process: multiprocessing.Process
-    pipe_connection: PipeConnection
+    pipe_connection: Connection
     process_id: int
     process_type: HordeProcessKind
     last_process_state: HordeProcessState
@@ -76,7 +80,7 @@ class HordeProcessInfo:
     def __init__(
         self,
         mp_process: multiprocessing.Process,
-        pipe_connection: PipeConnection,
+        pipe_connection: Connection,
         process_id: int,
         process_type: HordeProcessKind,
         last_process_state: HordeProcessState,
@@ -1062,8 +1066,8 @@ async def api_job_pop(self) -> None:
             job_pop_request = ImageGenerateJobPopRequest(
                 apikey=self.bridge_data.api_key,
                 name=self.bridge_data.dreamer_worker_name,
-                bridge_agent="AI Horde Worker:23:tazlin reGen testing",
-                bridge_version=23,  # TODO TIs broken
+                bridge_agent="AI Horde Worker reGen:1:https://github.com/Haidra-Org/",
+                bridge_version=1,  # TODO TIs broken
                 models=self.bridge_data.image_models_to_load,
                 nsfw=self.bridge_data.nsfw,
                 threads=self.max_concurrent_inference_processes,
@@ -1093,6 +1097,11 @@ async def api_job_pop(self) -> None:
 
         self._job_pop_frequency = self._default_job_pop_frequency
 
+        info_string = "No job available. "
+        if len(self.job_deque) > 0:
+            info_string += f"Current job deque length: {len(self.job_deque)}. "
+        info_string += f"(Skipped reasons: {job_pop_response.skipped.model_dump(exclude_defaults=True)})"
+
         if job_pop_response.id_ is None:
             logger.info(
                 f"No job available. (Skipped reasons: {job_pop_response.skipped.model_dump(exclude_defaults=True)})",
@@ -1107,6 +1116,48 @@ async def api_job_pop(self) -> None:
             new_response_dict["payload"]["seed"] = random.randint(0, (2**32) - 1)
             job_pop_response = ImageGenerateJobPopResponse(**new_response_dict)
 
+        if job_pop_response.source_image is not None and "https://" in job_pop_response.source_image:
+            # Download and convert the source image to base64
+            fail_count = 0
+            while True:
+                try:
+                    if fail_count >= 10:
+                        logger.error(f"Failed to download source image after {fail_count} attempts")
+                        break
+                    source_image_response = requests.get(job_pop_response.source_image)
+                    source_image_response.raise_for_status()
+                    new_response_dict = job_pop_response.model_dump(by_alias=True)
+
+                    new_response_dict["source_image"] = base64.b64encode(source_image_response.content).decode("utf-8")
+                    job_pop_response = ImageGenerateJobPopResponse(**new_response_dict)
+                    logger.debug(f"Downloaded source image for job {job_pop_response.id_}")
+                    break
+                except Exception as e:
+                    logger.error(f"Failed to download source image: {e}")
+                    fail_count += 1
+                    time.sleep(0.5)
+
+        if job_pop_response.source_mask is not None and "https://" in job_pop_response.source_mask:
+            # Download and convert the source image to base64
+            fail_count = 0
+            while True:
+                try:
+                    if fail_count >= 10:
+                        logger.error(f"Failed to download source image after {fail_count} attempts")
+                        break
+                    source_mask_response = requests.get(job_pop_response.source_mask)
+                    source_mask_response.raise_for_status()
+                    new_response_dict = job_pop_response.model_dump(by_alias=True)
+
+                    new_response_dict["source_mask"] = base64.b64encode(source_mask_response.content).decode("utf-8")
+                    job_pop_response = ImageGenerateJobPopResponse(**new_response_dict)
+                    logger.debug(f"Downloaded source image for job {job_pop_response.id_}")
+                    break
+                except Exception as e:
+                    logger.error(f"Failed to download source_mask: {e}")
+                    fail_count += 1
+                    time.sleep(0.5)
+
         async with self._job_deque_lock:
             self.job_deque.append(job_pop_response)
             self._testing_jobs_added += 1
diff --git a/requirements.txt b/requirements.txt
index 3908cd4c..d80ffa9a 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,6 +1,6 @@
 torch
 
-horde_sdk
+horde_sdk>=7.10.0
 horde_model_reference
 horde_safety
 hordelib
diff --git a/run_worker.py b/run_worker.py
index 8883f49a..633a1d40 100644
--- a/run_worker.py
+++ b/run_worker.py
@@ -34,13 +34,15 @@ def main(ctx: BaseContext) -> None:
 
     imlr = ImageModelLoadResolver(horde_model_reference_manager)
 
+    resolved_models = None
     if bridge_data.meta_load_instructions is not None:
         resolved_models = imlr.resolve_meta_instructions(
             list(bridge_data.meta_load_instructions),
             AIHordeAPIManualClient(),
         )
 
-    bridge_data.image_models_to_load = list(resolved_models)
+    if resolved_models is not None:
+        bridge_data.image_models_to_load = list(set(bridge_data.image_models_to_load + list(resolved_models)))
 
     start_working(ctx=ctx, bridge_data=bridge_data)